Classification of targets using their micro-Doppler signatures has attracted a growing interest in recent years. In addition to their main bulk translation, targets may exhibit additional motions, such as vibrations and rotations, which generate Doppler modulations in the echo that contain unique target features and thus can be used to perform target recognition. Although target classification ...

In this work the author demonstrated a robust and efficient method for implementing Doppler classification through the use of Linear Discriminant Analysis (LDA). LDAs were used to reduce dramatically the data dimensionality and thereby eliminate redundancy and improve the efficiency of the classifier. The performance was assessed on a three-class problem of personnel, tracked and wheeled vehicl...

Radars operating in the HF band achieve extremely long range detection by exploiting propagation modes which preclude many of the standard target classification techniques, at least in their conventional form. Yet, in order to take full advantage of an over-the-horizon detection capability, reliable target classification, recognition and identification is essential. This paper explores the opti...

Satellite-borne or aircraft-borne synthetic aperture radar (SAR) is useful for high resolution imaging analysis for terrain surface monitoring or surveillance, particularly in optically harsh environments. For surveillance application, there are various approaches for automatic target recognition (ATR) of SAR images aiming at monitoring unidentified ships or aircraft. In addition, various types...

• In this article we propose an improved version of a conventional templatematching classifier that is currently used in an operational automatic targt;t recognition system for synthetic-aperture radar (SAR) imagery. This classifier was originally designed to maintain, for each target type of interest, a library of 2-D reference images (or templates) formed at a variety of radar viewing directi...

Following the recent advancements in radar technologies, research on automatic target recognition using Inverse Synthetic Aperture Radar (ISAR) has correspondingly seen more attention and activity. ISAR automatic target recognition researchers aim to fully automate recognition and classification of military vehicles, but because radar images often do not present a clear image of what they detec...

High resolution range profiling and imaging have been the principal methods by which more and more detailed target information can be collected by radar systems. The level of detail that can be established may then be used to attempt classification. However, this has typically been achieved using monostatic radar viewing targets from a single perspective. In this chapter methods for achieving v...

 SIR-C quad-pol MLC data acquired in 1994 and ALOS PALSAR quad-pol and dual pol SLC data acquired in 2006 and 2007 over several Indian sites have been processed using PolSARpro software for classification of various land features. The land features include ocean, clear water, settlements, agriculture fields, arid lands, grown and young forest, hilly terrain, mangrove forest, etc. Both unsuperv...